Data Scientist (Product/Pricing)

$72,700 - $176,000/Yr

Braintree - San Jose, CA

Full-time - Mid Level

Hybrid - San Jose, CA

101-250 employees

Personal and Laundry Services

About the position

The Data Scientist for the Pricing-FX Product Analytics team at PayPal plays a crucial role in driving data-driven insights to support product launches and optimize pricing strategies. This position involves analyzing product performance, conducting root cause analyses, and collaborating with product leaders to establish metrics for new offerings. The role requires a strong analytical mindset and the ability to synthesize large volumes of data to present findings to senior stakeholders.

Responsibilities

• Develop root cause analysis for anomalous events and unexpected pricing behaviors.
• Analyze product performance and health, triage issues, and provide recommendations for optimization.
• Design, construct, implement, and analyze pricing experiments to drive statistical conclusions.
• Execute funnel tracking and data mining insights for pricing product launches.
• Partner with product leaders to understand new offerings and recommend metrics for performance measurement.
• Support multiple projects simultaneously in a fast-paced environment.
• Synthesize large volumes of data and present findings to senior-level stakeholders.
• Collaborate with engineering and data engineering to enable feature tracking and resolve data issues.
• Identify key metrics, conduct exploratory data analysis, and create executive presentations.

Requirements

• 3+ years in data science roles or 2+ years of experience in product or payments analytics.
• Advanced SQL skills.
• Proficient in statistical/probabilistic methodologies such as causal inference.
• Experience in product experimentation, A/B testing, and pre/post analysis.
• Proficient with reporting software such as Tableau, Looker, or Qlikview.

Nice-to-haves

• Curious and inquisitive nature with a passion for data insights.
• Hyper-analytical and intellectually honest approach to data-driven decisions.
• Motivated, result-oriented self-starter who enjoys fast-paced environments.

Benefits

• Flexible work environment
• Employee stock options
• Health insurance
• Life insurance
• Dental insurance
• Vision insurance
• Annual performance bonus
• Equity compensation